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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Rang Teknik Journal
Yamashika, Herris
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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PENGUJIAN KARATERISTIK PENGISIAN BATERAI DARI GENERATOR DC MAGNET PERMANEN MENGGUNAKAN SOLAR CHARGING CONTROLLER Yamashika, Herris; Kamil, Mahyessie
Rang Teknik Journal Vol 4, No 1 (2021): Vol. 4 No. 1 Januari 2021
Publisher : Fakultas Teknik Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (195.408 KB) | DOI: 10.31869/rtj.v4i1.2280

Abstract

Penelitian ini melakukan pengujian karateristik pengisian baterai yang menggunakan generator DC magnet permanen sebagai sumber, dan pengaturan pengisian baterai menggunakan Solar Charging Controller (SCC) yang sering dipakai sebagai pengatur pengisian dari panel surya. Pengujian ini dilakukan untuk mengetahui nilai tegangan dan rpm minimal generator agar baterai dapat terisi. Pelaksanaan pengujian dilakukan menggunakan generator DC magnet permanen dengan kapasitas 250 watt, 24 Volt, pada putaran 2750 rpm. Genarator ini dihubungkan ke SCC untuk mengatur pengisian baterai VRLA 12 Volt 7 Ah, dan beban lampu 12 Volt 5 Watt sebanyak 20 buah. Sebagai penggerak mula, digunakan motor induksi 3 fasa yang putarannya dapat diatur melalui Variable Speed Drive (VSD). Parameter arus dan tegangan dari masing-masing generator, baterai, dan beban lampu akan diamati. Untuk mengetahui putarang generator, rpm meter digunakan untuk mengetahui putaran generator. Dari hasil pengujian diperoleh bahwa tegangan minimum generator agar dapat mengisi baterai adalah 12.3 Volt pada putaran 1630 rpm.
A Novel Model for Prediction of Flashover 150kV Polluted Insulator Based on Nonlinear Autoregressive External Input Neural Network Hasanah, Mardini; Novizon, Novizon; Qatrunnada, Rusvaira; Warmi, Yusreni; Amalia, Sitti; Yamashika, Herris
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7344

Abstract

This study aims to use an artificial neural network to forecast the flashover voltage of a polluted high-voltage insulator. Practical tests were conducted on a high-voltage insulator to gather data for the neural network. These tests were carried out with varying levels of real contaminants from used insulators, with each level of contamination measured in milliliters. The collected data provides flashover voltage values corresponding to different pollution amounts and their conductivity in each insulator zone. The Nonlinear Autoregressive External Input Neural Network (NarxNet) is employed to predict the flashover voltage and assess the pollution state of the insulator. The results demonstrate that the NarxNet method achieves a 93.74% accuracy rate in predicting the flashover voltage of high-voltage insulators, compared to the results from practical tests.
A Novel Model for Prediction of Flashover 150kV Polluted Insulator Based on Nonlinear Autoregressive External Input Neural Network Hasanah, Mardini; Novizon, Novizon; Qatrunnada, Rusvaira; Warmi, Yusreni; Amalia, Sitti; Yamashika, Herris
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7344

Abstract

This study aims to use an artificial neural network to forecast the flashover voltage of a polluted high-voltage insulator. Practical tests were conducted on a high-voltage insulator to gather data for the neural network. These tests were carried out with varying levels of real contaminants from used insulators, with each level of contamination measured in milliliters. The collected data provides flashover voltage values corresponding to different pollution amounts and their conductivity in each insulator zone. The Nonlinear Autoregressive External Input Neural Network (NarxNet) is employed to predict the flashover voltage and assess the pollution state of the insulator. The results demonstrate that the NarxNet method achieves a 93.74% accuracy rate in predicting the flashover voltage of high-voltage insulators, compared to the results from practical tests.
KOMPARASI PENENTUAN LOKASI GANGGUAN ANTARA FAULT LOCATOR DAN RELE JARAK PADA PENGHANTAR 150 KV TELUK KUANTAN-RENGAT Arifin, Jamal; Yamashika, Herris; Dwiharzandis, Aggrivina
Rang Teknik Journal Vol 9, No 2 (2026): Vol. 9 No. 2 Juni 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/rtj.v9i2.7910

Abstract

Transmission system reliability is an essential factor in maintaining continuous power supply. Accurate and fast fault location identification is necessary to shorten repair time. This study compares two fault location determination methods, namely the Fault Locator based on Traveling Wave Signal (TWS) and the Distance Relay based on impedance on the 150 kV Teluk Kuantan–Rengat transmission line. The results show that the TWS method has a smaller error rate compared to the impedance method. The average error using TWS is 0.42%, while the impedance method shows 1.86%. Thus, the TWS method is more accurate and recommended for use in 150 kV transmission systems.Keywords: fault locator, traveling wave, distance relay, transmission system, fault location
PEMODELAN TRANSIEN ELEKTROMAGNETIK SUB SISTEM GITET NEW AUR DURI Vevel, Ofpria; Amin, Rahmat Rachim; Yamashika, Herris; Dwiharzandis, Aggrivina; Lovita, Wiwin
Rang Teknik Journal Vol 9, No 2 (2026): Vol. 9 No. 2 Juni 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/rtj.v9i2.7988

Abstract

Electromagnetic transient modeling is an analytical method used to understand the transition phenomena that occur in electric power systems due to disturbances, such as short circuits, switching, and lightning. This study aims to conduct electromagnetic transient modeling on the GITET New Aur Duri subsystem to determine the characteristics of the system's response to transient conditions. The method used is system modeling using electric power system simulation software by entering network component parameters such as transmission lines, transformers, and voltage sources. The simulation results show that transient phenomena can cause rapid changes in voltage and current in a very short time. Therefore, this modeling is important to help analyze and understand system behavior so that it can improve the reliability and safety of electric power system operations on the GITET New Aur Duri subsystem.Keywords: electromagnetic transients, EMTP/ transient simulation, electric power systems, GITET New Aur Duri, power system disturbances, system modeling.
Co-Authors Aggrivina Dwiharzandis Amin, Rahmat Rachim Arifin, Jamal Hasanah, Mardini Kamil, Mahyessie Lovita, Wiwin Novizon, Novizon Rusvaira Qatrunnada Sitti Amalia Vevel, Ofpria Yusreni Warmi